J Korean Neurol Assoc > Volume 25(4); 2007 > Article
Journal of the Korean Neurological Association 2007;25(4): 488-493.
습관적 코골이를 가지고 있는 환자들에서 주간졸리움의 빈도 및 관련 인자
심은정, 김준식 이주화 이 형 황상희a 안병훈b 서영성c 김희철d 조용원
계명대학교 의과대학 신경과학교실, 치과학교실a, 이비인후과학교실b, 가정의학과교실c, 정신과학교실d
Prevalence and Related Parameters of Daytime Sleepiness in Patients with Habitual Snoring
Eun-Jeong Shim
Departments of Neurology, Dentistrya, Otolaryngologyb, Family medicinec, Psychiatryd, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
Abstract
Background: Excessive daytime sleepiness (EDS) is a common symptom in patients with habitual snoring, including obstructive sleep apnea (OSA). However, there had been no studies for the prevalence and related factors of EDS in patients with habitual snoring in Korea. So we studied the prevalence and related factors of EDS in patients with habitual snoring.
Methods: Sixty two patients with habitual snoring were selected from our sleep center from February 2004 to January 2007. All patients were given an overnight polysomnography and then took the multiple sleep latency tests the following day. They were classified into two groups: EDS (mean sleep latency, MSL<10 minutes) and no EDS (MSL≥10 minutes). We studied the prevalence of EDS in patients with habitual snoring and compared two groups about the demographic data and polysomnographic characteristics.
Results: Most (72.6%) patients with habitual snoring demonstrated EDS. There were significant different parameters between the EDS group and the no EDS group, such as total sleep time, percent of slow wave sleep, snoring index, arousal index, and number of desaturation. Among these, the logistic regression analysis identified total sleep time as a significant predictive factor for daytime sleepiness. MSL correlated significantly with the percent of slow wave sleep and number of desaturation.
Conclusions: Our results showed the high prevalence of EDS in patients with habitual snoring in Korea. Long total sleep time in polysomnography seems to predict EDS.KeyWords:Snoring, Obstructive sleep apnea, Sleep disorder


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